


"""simple docstring"""






from collections.abc import Callable




class 							A_      :


  def __init__(			self:						int							,__lowerCAmelCase:						Callable | None = None    ):







     '''simple docstring'''







     _lowerCamelCase   :				list							=     []
     # Stores indexes of each item for supporting updates and deletion.
     _lowerCamelCase   :				dict							=     {}
     # Stores current size of heap.
     _lowerCamelCase   :				int							=     0
     # Stores function used to evaluate the score of an item on which basis ordering
     # will be done.
     _lowerCamelCase   :				Optional[Any]							=     key or (lambda __lowerCAmelCase    : x)


  def 							_lowercase					(			self:						Union[str, Any]							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     return int((i - 1) / 2    ) if i > 0 else None


  def 							_lowercase					(			self:						Optional[int]							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     _lowerCamelCase   :				Optional[int]							=     int(2 * i + 1    )
     return left if 0 < left < self.size else None


  def 							_lowercase					(			self:						int							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     _lowerCamelCase   :				List[str]							=     int(2 * i + 2    )
     return right if 0 < right < self.size else None


  def 							_lowercase					(			self:						Union[str, Any]							,__lowerCAmelCase:						int							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     _lowerCamelCase   :				Any							=     (
         self.pos_map[self.arr[j][0]],
         self.pos_map[self.arr[i][0]],
     )
     # Then swap the items in the list.
     _lowerCamelCase   :				int							=     self.arr[j], self.arr[i]


  def 							_lowercase					(			self:						Union[str, Any]							,__lowerCAmelCase:						int							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     return self.arr[i][1] < self.arr[j][1]


  def 							_lowercase					(			self:						Optional[Any]							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     _lowerCamelCase   :				Tuple							=     self._left(_A    )
     _lowerCamelCase   :				Dict							=     self._right(_A    )
     _lowerCamelCase   :				str							=     i

     if left is not None and not self._cmp(_A							,_A    ):
        _lowerCamelCase   :				Dict							=     left
     if right is not None and not self._cmp(_A							,_A    ):
        _lowerCamelCase   :				str							=     right

     return valid_parent


  def 							_lowercase					(			self:						List[Any]							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     _lowerCamelCase   :				Dict							=     self._parent(_A    )
     while parent is not None and not self._cmp(_A							,_A    ):
        self._swap(_A							,_A    )
        _lowerCamelCase   :				List[Any]							=     parent, self._parent(_A    )


  def 							_lowercase					(			self:						List[str]							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     _lowerCamelCase   :				Optional[Any]							=     self._get_valid_parent(_A    )
     while valid_parent != index:
        self._swap(_A							,_A    )
        _lowerCamelCase   :				Union[str, Any]							=     valid_parent, self._get_valid_parent(_A    )


  def 							_lowercase					(			self:						List[Any]							,__lowerCAmelCase:						int							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     if item not in self.pos_map:
        return
     _lowerCamelCase   :				Optional[int]							=     self.pos_map[item]
     _lowerCamelCase   :				Optional[Any]							=     [item, self.key(_A    )]
     # Make sure heap is right in both up and down direction.
     # Ideally only one of them will make any change.
     self._heapify_up(_A    )
     self._heapify_down(_A    )


  def 							_lowercase					(			self:						Union[str, Any]							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     if item not in self.pos_map:
        return
     _lowerCamelCase   :				Optional[int]							=     self.pos_map[item]
     del self.pos_map[item]
     _lowerCamelCase   :				str							=     self.arr[self.size - 1]
     _lowerCamelCase   :				Union[str, Any]							=     index
     self.size -= 1
     # Make sure heap is right in both up and down direction. Ideally only one
     # of them will make any change- so no performance loss in calling both.
     if self.size > index:
        self._heapify_up(_A    )
        self._heapify_down(_A    )


  def 							_lowercase					(			self:						Tuple							,__lowerCAmelCase:						int							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     _lowerCamelCase   :				List[str]							=     len(self.arr    )
     if arr_len == self.size:
        self.arr.append([item, self.key(_A    )]    )
     else:
        _lowerCamelCase   :				Dict							=     [item, self.key(_A    )]
     _lowerCamelCase   :				Optional[int]							=     self.size
     self.size += 1
     self._heapify_up(self.size - 1    )


  def 							_lowercase					(			self:						Optional[int]    ):







     '''simple docstring'''







     return self.arr[0] if self.size else None






  def 							_lowercase					(			self:						Dict    ):







     '''simple docstring'''







     _lowerCamelCase   :				str							=     self.get_top()
     if top_item_tuple:
        self.delete_item(top_item_tuple[0]    )
     return top_item_tuple







def        lowerCamelCase_(		)    ->     None:
   '''simple docstring'''





   pass


if __name__ == "__main__":
  import doctest

  doctest.testmod()







'''simple docstring'''





import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert import BertTokenizer
def __UpperCAmelCase   (					A					:			Optional[int]		)    ->   List[Any]:
			# This defines a "chinese character" as anything in the CJK Unicode block:
			#   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
			#
			# Note that the CJK Unicode block is NOT all Japanese and Korean characters,
			# despite its name. The modern Korean Hangul alphabet is a different block,
			# as is Japanese Hiragana and Katakana. Those alphabets are used to write
			# space-separated words, so they are not treated specially and handled
			# like the all of the other languages.
			if (
			    (cp >= 0X4E_00 and cp <= 0X9F_FF)
			    or (cp >= 0X34_00 and cp <= 0X4D_BF)  #
			    or (cp >= 0X2_00_00 and cp <= 0X2_A6_DF)  #
			    or (cp >= 0X2_A7_00 and cp <= 0X2_B7_3F)  #
			    or (cp >= 0X2_B7_40 and cp <= 0X2_B8_1F)  #
			    or (cp >= 0X2_B8_20 and cp <= 0X2_CE_AF)  #
			    or (cp >= 0XF9_00 and cp <= 0XFA_FF)
			    or (cp >= 0X2_F8_00 and cp <= 0X2_FA_1F)  #
			):  #
						return True

			return False
def __UpperCAmelCase   (					A					:			str		)    ->   Optional[Any]:
			# word like '180' or '身高' or '神'
			for char in word:
						UpperCAmelCase_      :       str          =       ord(A		)
						if not _is_chinese_char(A		):
									return 0
			return 1
def __UpperCAmelCase   (					A					:			List[str]		)    ->   Dict:
			UpperCAmelCase_      :       Optional[Any]          =       set()

			for token in tokens:
						UpperCAmelCase_      :       str          =       len(A		) > 1 and is_chinese(A		)
						if chinese_word:
									word_set.add(A		)
			UpperCAmelCase_      :       Optional[int]          =       list(A		)
			return word_list
def __UpperCAmelCase   (					A					:			List[str]			,       A					:			set()		)    ->   Optional[Any]:
			if not chinese_word_set:
						return bert_tokens
			UpperCAmelCase_      :       Dict          =       max([len(A		) for w in chinese_word_set]		)

			UpperCAmelCase_      :       List[str]          =       bert_tokens
			UpperCAmelCase_    ,      UpperCAmelCase_      :       List[Any]          =       0, len(A		)
			while start < end:
						UpperCAmelCase_      :       str          =       True
						if is_chinese(bert_word[start]		):
									UpperCAmelCase_      :       str          =       min(end - start			,       A		)
									for i in range(A			,       1			,       -1		):
												UpperCAmelCase_      :       Tuple          =       ''''''.join(bert_word[start : start + i]		)
												if whole_word in chinese_word_set:
															for j in range(start + 1			,       start + i		):
																		UpperCAmelCase_      :       Union[str, Any]          =       '''##''' + bert_word[j]
															UpperCAmelCase_      :       Any          =       start + i
															UpperCAmelCase_      :       Optional[int]          =       False
															break
						if single_word:
									start += 1
			return bert_word
def __UpperCAmelCase   (					A					:			List[str]			,       A					:			LTP			,       A					:			BertTokenizer		)    ->   Union[str, Any]:
			UpperCAmelCase_      :       Optional[int]          =       []

			for i in range(0			,       len(A		)			,       1_0_0		):
						UpperCAmelCase_      :       int          =       ltp_tokenizer.pipeline(lines[i : i + 1_0_0]			,       tasks=['''cws''']		).cws
						UpperCAmelCase_      :       Any          =       [get_chinese_word(A		) for r in res]
						ltp_res.extend(A		)
			assert len(A		) == len(A		)

			UpperCAmelCase_      :       Tuple          =       []
			for i in range(0			,       len(A		)			,       1_0_0		):
						UpperCAmelCase_      :       Optional[int]          =       bert_tokenizer(lines[i : i + 1_0_0]			,       add_special_tokens=A			,       truncation=A			,       max_length=5_1_2		)
						bert_res.extend(res['''input_ids''']		)
			assert len(A		) == len(A		)

			UpperCAmelCase_      :       Any          =       []
			for input_ids, chinese_word in zip(A			,       A		):
						UpperCAmelCase_      :       Union[str, Any]          =       []
						for id in input_ids:
									UpperCAmelCase_      :       Union[str, Any]          =       bert_tokenizer._convert_id_to_token(A		)
									input_tokens.append(A		)
						UpperCAmelCase_      :       List[str]          =       add_sub_symbol(A			,       A		)
						UpperCAmelCase_      :       Any          =       []
						# We only save pos of chinese subwords start with ##, which mean is part of a whole word.
						for i, token in enumerate(A		):
									if token[:2] == "##":
												UpperCAmelCase_      :       int          =       token[2:]
												# save chinese tokens' pos
												if len(A		) == 1 and _is_chinese_char(ord(A		)		):
															ref_id.append(A		)
						ref_ids.append(A		)

			assert len(A		) == len(A		)

			return ref_ids
def __UpperCAmelCase   (					A					:			List[Any]		)    ->   Tuple:
			# For Chinese (Ro)Bert, the best result is from : RoBERTa-wwm-ext (https://github.com/ymcui/Chinese-BERT-wwm)
			# If we want to fine-tune these model, we have to use same tokenizer : LTP (https://github.com/HIT-SCIR/ltp)
			with open(args.file_name			,       '''r'''			,       encoding='''utf-8'''		) as f:
						UpperCAmelCase_      :       Optional[Any]          =       f.readlines()
			UpperCAmelCase_      :       List[str]          =       [line.strip() for line in data if len(A		) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
			UpperCAmelCase_      :       Tuple          =       LTP(args.ltp		)  # faster in GPU device
			UpperCAmelCase_      :       Union[str, Any]          =       BertTokenizer.from_pretrained(args.bert		)

			UpperCAmelCase_      :       Optional[int]          =       prepare_ref(A			,       A			,       A		)

			with open(args.save_path			,       '''w'''			,       encoding='''utf-8'''		) as f:
						UpperCAmelCase_      :       str          =       [json.dumps(A		) + '''\n''' for ref in ref_ids]
						f.writelines(A		)


if __name__ == "__main__":
						_UpperCamelCase						:						Optional[Any]  =					argparse.ArgumentParser(description='prepare_chinese_ref')
						parser.add_argument(
						    '--file_name',
						    required=False,
						    type=str,
						    default='./resources/chinese-demo.txt',
						    help='file need process, same as training data in lm',
						)
						parser.add_argument(
						    '--ltp',
						    required=False,
						    type=str,
						    default='./resources/ltp',
						    help='resources for LTP tokenizer, usually a path',
						)
						parser.add_argument(
						    '--bert',
						    required=False,
						    type=str,
						    default='./resources/robert',
						    help='resources for Bert tokenizer',
						)
						parser.add_argument(
						    '--save_path',
						    required=False,
						    type=str,
						    default='./resources/ref.txt',
						    help='path to save res',
						)

						_UpperCamelCase						:						Any  =					parser.parse_args()
						main(args)


